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Global Server Operating System Market to reach USD 32.46 billion by the end of 2029.

Global Server Operating System Market Size study & Forecast, by Operating System (Windows, Linux, Unix, Others) by Virtualization (Virtual Machines, Physical), by Deployment (On-Premise, Cloud) and Regional Analysis, 2022-2029

Product Code: ICTNGT-64450320
Publish Date: 25-01-2023
Page: 200

Global Server Operating System Market is valued at approximately USD 16.9 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 8.5% over the forecast period 2022-2029. A server operating system (server OS) is a cutting-edge version of an operating system that runs on a server in a client-server architecture and delivers multiple services to client machines within the network. This system comprises an advanced-level combination of software, hardware, and network configuration services alongside a central interface to integrate security and other essential administrative processes and forms the software backbone to run various programs and applications. The growing deployments of 5G networking technologies, rise in business expenditure on constructing a robust data center infrastructure, and increasing security needs in infrastructure are the primary factors that are contributing towards the market growth around the world.

The growing penetration of hybrid cloud environments and infrastructure is anticipated to surge the demand for server operating systems in the global market. According to Statista, the worldwide market for hybrid cloud was worth around USD 85.3 billion in 2021, which is projected to grow and is likely to reach USD 262.4 billion by 2027. Therefore, these factors are likely to reinforce the growth of the market. Moreover, the rising number of co-location of data centers, as well as the increasing technological advancements are presenting various lucrative opportunities over the forecasting years. However, the high cost related to deployment and high server downtime is hampering the market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Server Operating System Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America dominated the market in terms of revenue, owing to the growing expansion of internet applications, along with the rising integration of Artificial Intelligence (AI) technology in the server operating system. Whereas, the Asia Pacific is also expected to grow with the highest CAGR during the forecast period, owing to factors such as the rising adoption of cloud computing solutions, and growing investments in cloud computing services in the market space.

Major market players included in this report are:
Cisco Systems, Inc.
IBM Corporation
Oracle Corporation
Amazon Web Services
NEC Corporation
Microsoft Corporation
Unisys Unisys
Canonical Ltd. (Ubuntu)
Apple Inc.
Dell Technologies Inc.

Recent Developments in the Market:
 In September 2022, IBM unveiled the next model of its LinuxONE server, a highly flexible Linux and Kubernetes-based platform that is specially designed in order to accommodate thousands of workloads inside the footprint of a single system. The company’s LinuxONE Emperor 4 encompasses technologies that assists in reducing the energy usage of customers.
 In July 2021, Google LLC announced the launch of India’s advanced infrastructure cloud development project. The company invested approximately USD 4.5 billion in 2020 for Jio Platforms to enhance the country’s digitization. Google LLC has approximately 26 cloud regions, 79 cloud zones, and 146 cloud availability points globally as of July 2021.

Global Server Operating System Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Operating System, Virtualization, Deployment, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Operating System:
By Virtualization:
Virtual Machines
By Deployment:
By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Server Operating System Market, by Region, 2019-2029 (USD Billion)
1.2.2. Server Operating System Market, by Operating System, 2019-2029 (USD Billion)
1.2.3. Server Operating System Market, by Virtualization, 2019-2029 (USD Billion)
1.2.4. Server Operating System Market, by Deployment, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Server Operating System Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Server Operating System Market Dynamics
3.1. Server Operating System Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Increasing deployments of 5G networking technologies Growing penetration of hybrid cloud environments and infrastructure
3.1.2. Market Challenges High cost related to deployment High server downtime
3.1.3. Market Opportunities Rise in number of co-location of data centers Increasing technological advancements
Chapter 4. Global Server Operating System Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. Industry Experts Prospective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Server Operating System Market, by Operating System
6.1. Market Snapshot
6.2. Global Server Operating System Market by Operating System, Performance – Potential Analysis
6.3. Global Server Operating System Market Estimates & Forecasts by Operating System 2019-2029 (USD Billion)
6.4. Server Operating System Market, Sub Segment Analysis
6.4.1. Windows
6.4.2. Linux
6.4.3. Unix
6.4.4. Others
Chapter 7. Global Server Operating System Market, by Virtualization
7.1. Market Snapshot
7.2. Global Server Operating System Market by Virtualization, Performance – Potential Analysis
7.3. Global Server Operating System Market Estimates & Forecasts by Virtualization 2019-2029 (USD Billion)
7.4. Server Operating System Market, Sub Segment Analysis
7.4.1. Virtual Machines
7.4.2. Physical
Chapter 8. Global Server Operating System Market, by Deployment
8.1. Market Snapshot
8.2. Global Server Operating System Market by Deployment, Performance – Potential Analysis
8.3. Global Server Operating System Market Estimates & Forecasts by Deployment 2019-2029 (USD Billion)
8.4. Server Operating System Market, Sub Segment Analysis
8.4.1. On-Premise
8.4.2. Cloud
Chapter 9. Global Server Operating System Market, Regional Analysis
9.1. Server Operating System Market, Regional Market Snapshot
9.2. North America Server Operating System Market
9.2.1. U.S. Server Operating System Market Operating System breakdown estimates & forecasts, 2019-2029 Virtualization breakdown estimates & forecasts, 2019-2029 Deployment breakdown estimates & forecasts, 2019-2029
9.2.2. Canada Server Operating System Market
9.3. Europe Server Operating System Market Snapshot
9.3.1. U.K. Server Operating System Market
9.3.2. Germany Server Operating System Market
9.3.3. France Server Operating System Market
9.3.4. Spain Server Operating System Market
9.3.5. Italy Server Operating System Market
9.3.6. Rest of Europe Server Operating System Market
9.4. Asia-Pacific Server Operating System Market Snapshot
9.4.1. China Server Operating System Market
9.4.2. India Server Operating System Market
9.4.3. Japan Server Operating System Market
9.4.4. Australia Server Operating System Market
9.4.5. South Korea Server Operating System Market
9.4.6. Rest of Asia Pacific Server Operating System Market
9.5. Latin America Server Operating System Market Snapshot
9.5.1. Brazil Server Operating System Market
9.5.2. Mexico Server Operating System Market
9.5.3. Rest of Latin America Server Operating System Market
9.6. Rest of The World Server Operating System Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. Cisco Systems, Inc. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.2.2. IBM Corporation
10.2.3. Oracle Corporation
10.2.4. Amazon Web Services
10.2.5. NEC Corporation
10.2.6. Microsoft Corporation
10.2.7. Unisys Unisys
10.2.8. Canonical Ltd. (Ubuntu)
10.2.9. Apple Inc.
10.2.10. Dell Technologies Inc.
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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